Neuronal_hea(u)rt_working
Оксана Владимировна Айзсилниекс
26 06 2017
June 18, 2017
For Mr. Zaitsev some package to play
library(OpenImageR)
library(mxnet)
library(dplyr)Часть 1. Увеличение количества картинок
Первой частью нашего задания будет искусственное увеличение датасета с помощью функции Augmentation в пакете OpenImageR: хочется взять и каждую картинку случайно повернуть и немного сдвинуть и проделать это где-то ~50 раз.
Пример использования функции ниже:
# taken from https://stackoverflow.com/questions/22509106/converting-a-matrix-into-a-gray-scale-image-in-r
grays = rgb(red = 0:255/255, blue = 0:255/255, green = 0:255/255)
patch <- readImage("patches/patch1.jpg")
image(patch, col=grays)
А ещё было бы неплохо применить ZCA whitening (подробнее можно почитать здесь https://en.wikipedia.org/wiki/Whitening_transformation) – это такое нормализующее преобразование, которое часто используется в обучении нейронных сетей.
# ZCA only
patchAugmented <- Augmentation(patch, zca_comps = 30, zca_epsilon = 0.1, threads = 1, verbose = F)
image(patchAugmented, col=grays)
ZCA only + flip
# ZCA only + flip
patchAugmented <- Augmentation(patch, flip_mode = "horizontal",
zca_comps = 30, zca_epsilon = 0.1, threads = 1, verbose = F)
image(patchAugmented, col=grays)
###ZCA only + flip + rotation 30 degrees counterclockwise
# ZCA only + flip + rotation 30 degrees counterclockwise
patchAugmented <- Augmentation(patch, flip_mode = "horizontal",
rotate_angle = 30, rotate_method = 'bilinear',
zca_comps = 30,zca_epsilon = 0.1, threads = 1, verbose = F)
image(patchAugmented, col=grays)
###ZCA only + flip + rotation 30 degrees counterclockwise + shift 10 pixels comlumns and 5 pixels rows
# ZCA only + flip + rotation 30 degrees counterclockwise + shift 10 pixels comlumns and 5 pixels rows
patchAugmented <- Augmentation(patch, flip_mode = "horizontal",
shift_cols = 10, shift_rows = 5,
rotate_angle = 30, rotate_method = 'bilinear',
zca_comps = 30,zca_epsilon = 0.1, threads = 1, verbose = F)
image(patchAugmented, col=grays)
Данные
В папке patches лежат маленькие картинки – части изображений легких. В папке slices лежат изорабражения срезов легких целиком. В файле patch_labels.csv лежит 168 чисел от 0 до 2: 0 for normal tissue (NT), 1 for centrilobular emphysema (CLE), 2 for paraseptal emphysema (PSE), описывает класс каждого изображения из папки patches. Вообще все эти слайсы и патчи от реальных пациентов, и там есть файлики, которые описывают это всё дело, но нас в этой работе будут интересовать только patches и patch_labels.
Preparing data
data_patch_labels <- read.csv("patch_labels.csv", header = F)
data_patch_labels <- rename(data_patch_labels,
patch_labels = V1)
data_patch_subjects <- read.csv("patch_subjects.csv", header = F)
data_patch_subjects <- rename(data_patch_subjects,
patch_subjects = V1)
data_patch_labels$subjects <- data_patch_subjects$patch_subjects
data_patch_labels$file_name <- c(1:168)
data_patch_labels$file_name <- sub("^", "patch", data_patch_labels$file_name)
data_patch_labels$file_name <- paste0(data_patch_labels$file_name, ".jpg")
dataFiles <- as.character(data_patch_labels$file_name)
head(data_patch_labels)## patch_labels subjects file_name
## 1 1 A0001 patch1.jpg
## 2 1 A0001 patch2.jpg
## 3 1 A0001 patch3.jpg
## 4 1 A0001 patch4.jpg
## 5 1 A0001 patch5.jpg
## 6 1 A0001 patch6.jpgХочется взять разбить 168 картинок на тренировочную и тестирущие выборки: 34 в тестирующей и 134 в тренировочной. Тогда воспользуемся результатами предыдущего шага 134×50 картинок – тренировочная выборка, 34×50 – тестирующая. Хочется обучить нейронную сеть, как мы делали на паре. Мы сделал ремарку, что разбивать а валидирующий и тренировочный датасеты лучше до амплификации. Сделаем же это.
set.seed(3045)
data <- head(data_patch_labels, 168)
dataset.size <- 168
training.size <- floor(0.8 * dataset.size)
validation.size <- dataset.size - training.size
training.set <- sample(1:dataset.size, training.size)
validation.set <- (1:dataset.size)[-training.set]
train <- data[training.set, ]
test <- data[validation.set, ]
dim(train)## [1] 134 3dim(test)## [1] 34 3Преобразуем данные, только, в отличие от случая в лекции, картинку мы будем не поворачивать, а применять к ней те преобразования, которые ты предложил в начале домашнего задания.
# for train
data.dims <- dim(train)
features <- 61 * 61
dataset.size <- 50 * data.dims[1]
nn.data.x <- matrix(0, nrow=dataset.size, ncol=features)
nn.data.y <- vector(length=dataset.size)
rotate_angle <- seq(0, 359, 72)
pixel_shift <- seq(-5, 4, 1)
array_tranform <- expand.grid(rotate_angle, pixel_shift)
for (i in 1:data.dims[1]) {
print(i)
image <- as.character(train[i, ]$file_name)
image <- readImage(sprintf("patches/%s", image))
for (j in 1:50) {
patchAugmented <- Augmentation(image, flip_mode = "horizontal",
shift_cols = array_tranform[j,2], shift_rows = array_tranform[j,2],
rotate_angle = array_tranform[j,1], rotate_method = 'bilinear',
zca_comps = 30,zca_epsilon = 0.1, threads = 1, verbose = F)
#image(patchAugmented, col=grays)
nn.data.x[(i - 1) * 50 + j, ] <- as.numeric(patchAugmented)
nn.data.y[(i - 1) * 50 + j] <- train[i, ]$patch_labels
}
}## [1] 1
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## [1] 134# for test
data.dims_test <- dim(test)
features_test <- 61 * 61
dataset.size_test <- 50 * data.dims_test[1]
nn.data.x_test <- matrix(0, nrow=dataset.size_test, ncol=features_test)
nn.data.y_test <- vector(length=dataset.size_test)
rotate_angle <- seq(0, 359, 72)
pixel_shift <- seq(-5, 4, 1)
array_tranform <- expand.grid(rotate_angle, pixel_shift)
for (i in 1:data.dims_test[1]) {
print(i)
image <- as.character(test[i, ]$file_name)
image <- readImage(sprintf("patches/%s", image))
for (j in 1:50) {
patchAugmented <- Augmentation(image, flip_mode = "horizontal",
shift_cols = array_tranform[j,2], shift_rows = array_tranform[j,2],
rotate_angle = array_tranform[j,1], rotate_method = 'bilinear',
zca_comps = 30,zca_epsilon = 0.1, threads = 1, verbose = F)
#image(patchAugmented, col=grays)
if ( (i - 1) * 50 + j == 1 ){
print(patchAugmented)
print(as.numeric(patchAugmented))
}
nn.data.x_test[(i - 1) * 50 + j, ] <- as.numeric(patchAugmented)
nn.data.y_test[(i - 1) * 50 + j] <- test[i, ]$patch_labels
}
}## [1] 1
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## [9,] -0.0171626336 -0.015404112 0.008119010 0.0085649810 -4.412239e-02
## [10,] 0.0237477835 -0.028544042 -0.052409573 -0.0351589053 -6.085673e-02
## [11,] 0.0755046290 0.059898938 0.047286819 0.0052885582 8.579434e-06
## [12,] 0.0703641377 0.079624641 0.056182571 0.0460770052 4.339442e-02
## [13,] -0.1031185320 -0.118609549 -0.117485649 -0.1096193256 -1.572927e-01
## [14,] 0.0872786143 0.037109676 -0.008322618 -0.0599588629 -1.193711e-01
## [15,] -0.0186112739 0.004851667 0.037807835 -0.0191847213 -1.247733e-01
## [16,] -0.0813106299 -0.008434927 0.056421602 0.0277296593 -3.221069e-02
## [17,] -0.0069599750 -0.044365091 -0.019746919 0.0704635083 7.906966e-02
## [18,] 0.0002881014 -0.015865435 -0.023592044 -0.0102592727 -1.165956e-02
## [19,] -0.0419665062 0.032240193 0.059212908 0.0417952816 -3.267748e-02
## [20,] 0.0211782336 0.125951134 0.185370733 0.1464205952 4.581762e-02
## [21,] 0.1237606069 0.103572480 0.065729497 0.0736618210 8.187247e-02
## [22,] 0.1689351300 0.182794654 0.210955120 0.2100101819 1.245948e-01
## [23,] 0.1662999779 0.118342386 0.054002270 -0.0220394147 -1.753753e-01
## [24,] 0.1406373816 0.143885199 0.163342511 0.1207086712 2.811620e-02
## [25,] 0.0923388213 0.103086675 0.156666295 0.0938749525 -7.092510e-02
## [26,] 0.0901870411 0.159326002 0.241706279 0.2477695689 1.108879e-01
## [27,] 0.1731036535 0.142676096 0.117890532 0.0387975239 -1.449833e-01
## [28,] 0.1896151857 0.174703799 0.119175651 0.0607264726 -1.101498e-01
## [29,] 0.0748702411 0.113979367 0.128859437 0.0782084858 -1.045264e-01
## [30,] 0.1813569773 0.097621769 -0.006986779 0.0282008386 -4.587034e-02
## [31,] 0.1269928662 0.083615278 0.032057188 0.1046574825 5.504381e-02
## [32,] 0.0799198650 0.068646333 0.041192795 -0.0149526461 -1.325079e-01
## [33,] 0.1581851752 0.186803475 0.188895256 0.2482353707 7.782810e-02
## [34,] 0.1565956953 0.168745479 0.157910381 0.1410494608 -5.744792e-02
## [35,] 0.0519532208 0.135351162 0.170192003 0.2143128586 3.982437e-02
## [36,] 0.1735326838 0.167657683 0.110254895 0.1278808264 1.662498e-02
## [37,] 0.1485755972 0.178835569 0.099525870 0.1678139877 9.021951e-02
## [38,] 0.0435970020 0.030202760 0.086644849 0.1166033934 4.080910e-01
## [39,] -0.0452861428 -0.032765646 0.087647335 0.1847752028 5.370940e-01
## [40,] -0.0742334861 -0.089667821 -0.071015756 -0.0198117307 3.423413e-01
## [41,] -0.1125104090 -0.174281272 -0.132275281 0.0815061315 5.642856e-01
## [42,] 0.1526842211 0.104817645 0.008249198 0.1213083890 5.931182e-01
## [43,] -0.0150152658 -0.076633652 -0.058807924 0.1721946812 7.543758e-01
## [44,] 0.1378173704 0.073641044 -0.001907780 0.1047201582 6.172184e-01
## [45,] -0.0157846323 -0.056673183 -0.057190848 0.0776999735 5.902263e-01
## [46,] -0.0484483642 0.045939024 0.101671066 0.1448326946 5.460085e-01
## [47,] 0.1440252009 0.154546824 0.053037827 -0.0748725804 1.040108e-01
## [48,] -0.2076207446 -0.126421170 -0.033166466 -0.0785868924 8.040829e-02
## [49,] 0.0339558204 0.100544253 0.094863854 -0.0537809282 -1.623407e-01
## [50,] -0.1375466332 -0.160517109 -0.145100037 -0.2341028998 -3.774249e-01
## [51,] 0.0215843600 0.048357819 0.012666620 -0.1105975239 -3.648955e-01
## [52,] 0.0139041301 -0.038541176 -0.076250711 -0.0198246415 -1.778821e-01
## [53,] 0.1326775091 0.112291681 0.042857377 0.0013364248 -1.550205e-01
## [54,] -0.0174809595 -0.047605133 -0.003608975 -0.0244771990 -2.016538e-01
## [55,] 0.1091879168 0.149690766 0.130118388 0.0994025993 9.030576e-02
## [56,] 0.1860055730 0.093256233 0.063867924 0.0811014359 3.741765e-02
## [57,] 0.0763963961 0.127053703 0.223970410 0.1641880919 -2.486924e-02
## [58,] 0.1132358623 0.105593650 0.134160482 0.1359953852 6.611062e-02
## [59,] 0.1309361374 0.044838021 -0.031041890 0.0154087052 6.430953e-02
## [60,] -0.0927817847 0.095099522 0.266362751 0.1679971667 -1.522948e-01
## [61,] 0.1836314054 0.100592074 0.015039988 0.0004775598 -2.697043e-02
## [,19] [,20] [,21] [,22] [,23]
## [1,] -0.566204807 -0.54226740 -0.5563530288 -0.560277746 -0.555948543
## [2,] -0.566204807 -0.54226740 -0.5563530288 -0.560277746 -0.555948543
## [3,] -0.566204807 -0.54226740 -0.5563530288 -0.560277746 -0.555948543
## [4,] -0.566204807 -0.54226740 -0.5563530288 -0.560277746 -0.555948543
## [5,] -0.566204807 -0.54226740 -0.5563530288 -0.560277746 -0.555948543
## [6,] 0.013297907 0.04860346 0.0367301479 -0.004646363 -0.085836964
## [7,] -0.214904989 -0.17981165 -0.0880211614 -0.085290438 -0.041662232
## [8,] -0.012268542 -0.03718593 -0.1320630533 -0.126895699 -0.129362403
## [9,] -0.102701549 -0.10320045 -0.0648324034 -0.003824541 0.015733792
## [10,] -0.175661345 -0.11590592 -0.0562331760 -0.081565099 -0.030695850
## [11,] 0.038062568 -0.01002395 -0.1126541553 -0.192217819 -0.251397431
## [12,] -0.095014067 -0.09260889 -0.0728940769 -0.081140473 -0.128661449
## [13,] -0.101266451 -0.15835246 -0.1310129622 -0.144424167 -0.081674383
## [14,] -0.315039191 -0.18537352 -0.0992394013 -0.052749723 0.022410042
## [15,] -0.038693378 0.00847363 0.0047215005 -0.038340836 -0.066075156
## [16,] -0.131589160 -0.07854839 -0.0328882477 -0.032870091 -0.018811566
## [17,] -0.065818404 -0.01423523 0.0307272563 -0.002875284 -0.001092013
## [18,] 0.099075599 0.06481372 0.0315961921 0.006467017 -0.035497233
## [19,] -0.040270582 -0.02597397 -0.0308311380 -0.049548972 -0.016356684
## [20,] -0.033316522 -0.06232602 0.0002315515 0.014562849 -0.015033132
## [21,] -0.054693654 -0.05025969 -0.0487189544 -0.081203521 -0.042154148
## [22,] -0.023288188 0.02483625 0.0418615811 -0.003109736 -0.184878903
## [23,] -0.156502423 -0.10141914 -0.0314907268 -0.047724475 -0.134819372
## [24,] -0.071435038 -0.02963317 0.0147930080 -0.014644224 -0.054608157
## [25,] -0.144964183 -0.13050198 -0.0284170228 -0.082209770 -0.070111940
## [26,] -0.143571764 -0.10212027 -0.0006619917 -0.084341938 -0.078483475
## [27,] -0.131988218 -0.09499595 0.0314694438 -0.097453934 -0.090806067
## [28,] -0.309437914 -0.21969500 0.0161306684 -0.117571875 -0.069716137
## [29,] -0.222480083 -0.12443412 0.1184222399 -0.011023635 -0.016783865
## [30,] -0.162767769 -0.05690593 -0.0565238308 -0.190819417 -0.154719617
## [31,] -0.048410881 -0.10119809 0.0127077462 0.041140240 -0.022610570
## [32,] -0.056650563 -0.15780976 -0.1401082385 -0.086675737 -0.105308012
## [33,] -0.199423480 -0.07298071 0.0060250481 -0.081727323 -0.099441905
## [34,] -0.199226417 0.01233217 0.0849705885 0.000339716 -0.054954509
## [35,] -0.102596735 -0.12494399 -0.0975535692 -0.034399636 -0.090441677
## [36,] 0.004493607 -0.09484358 -0.0211378009 0.039939775 -0.030077474
## [37,] 0.072622019 0.11808052 0.0579557234 -0.059805822 -0.026071089
## [38,] 0.698238126 0.39968877 0.1190892977 0.128173822 0.064459219
## [39,] 0.820686428 0.96559075 0.6657300766 0.392165849 0.341375973
## [40,] 0.699986448 0.84394017 0.7564653646 0.768600231 0.712065131
## [41,] 0.784106047 0.48728449 0.5382873652 0.635287180 0.537131097
## [42,] 0.638408884 0.23181240 0.1586220127 0.109662490 0.093342001
## [43,] 0.692600358 0.28392757 0.0284937872 -0.121478470 -0.058430726
## [44,] 0.483634780 -0.05439325 -0.1550217484 -0.147603925 -0.060959693
## [45,] 0.716701047 -0.02770887 -0.0073860257 -0.003998785 -0.251756291
## [46,] 0.757244089 0.11509569 -0.0608308835 -0.161254973 -0.244244033
## [47,] 0.644063189 0.17611218 -0.0998768463 -0.092874179 -0.311648631
## [48,] 0.769805630 0.63553006 0.1253006947 0.167301688 -0.043917101
## [49,] 0.159958103 0.45200759 0.0413691480 0.253155238 0.264944796
## [50,] 0.078297593 0.65711527 0.0278611932 -0.001481686 0.296644959
## [51,] -0.261949234 0.50172700 0.3630567384 0.244872360 0.690716907
## [52,] -0.437197229 0.14101200 0.7255330359 0.638912389 0.872473253
## [53,] -0.440579457 -0.17059349 0.9879313543 1.066634727 0.830582902
## [54,] -0.249458944 -0.16319771 0.3204162026 1.096680650 1.092194208
## [55,] -0.044153161 -0.24387866 -0.2253216971 0.310892262 0.637030513
## [56,] -0.099531302 -0.09540953 -0.1171511165 -0.048616974 0.020529307
## [57,] -0.166631360 -0.07947232 -0.1983393689 -0.176219165 -0.110440048
## [58,] -0.111519969 -0.06296607 -0.1179996845 -0.186066950 -0.181921808
## [59,] 0.112322342 0.02002868 -0.2142567064 -0.203314760 -0.084229755
## [60,] -0.217660606 -0.06805933 -0.0303521931 -0.031863824 -0.086392447
## [61,] -0.069917976 0.01429161 -0.0929156416 -0.049525515 -0.049807438
## [,24] [,25] [,26] [,27] [,28]
## [1,] -0.5518442556 -0.538361123 -0.52271529 -0.542568618 -5.519493e-01
## [2,] -0.5518442556 -0.538361123 -0.52271529 -0.542568618 -5.519493e-01
## [3,] -0.5518442556 -0.538361123 -0.52271529 -0.542568618 -5.519493e-01
## [4,] -0.5518442556 -0.538361123 -0.52271529 -0.542568618 -5.519493e-01
## [5,] -0.5518442556 -0.538361123 -0.52271529 -0.542568618 -5.519493e-01
## [6,] -0.1458690137 -0.140909735 -0.10568680 0.029942494 7.841052e-02
## [7,] -0.0190501779 -0.036419264 -0.07346626 -0.140630141 -1.292610e-01
## [8,] -0.1222384539 -0.137554154 -0.13961768 -0.120112432 -4.079854e-03
## [9,] -0.0287724798 -0.102476804 -0.18687456 -0.192556589 -1.464402e-01
## [10,] -0.0324928656 -0.084131231 -0.08777257 -0.134184867 -9.735390e-02
## [11,] -0.2359064896 -0.178014950 -0.13209808 0.016367855 9.366909e-02
## [12,] -0.1245243136 -0.100629856 -0.10324011 -0.071194444 -3.408013e-02
## [13,] -0.0536802260 0.004568935 0.03204123 0.010335991 4.678593e-03
## [14,] 0.0749833800 0.017064096 -0.04099602 -0.010628202 7.563332e-02
## [15,] -0.0327904282 -0.042872935 -0.11915880 0.057761015 1.747782e-01
## [16,] -0.0263244150 -0.025326116 -0.03959388 -0.097910257 -3.766755e-02
## [17,] -0.0023080515 -0.080449982 -0.14778130 -0.041008878 -3.781622e-05
## [18,] -0.0632925000 -0.051471954 -0.08585346 -0.059685967 7.391712e-02
## [19,] -0.0510664670 -0.045991028 -0.05609015 -0.163310377 5.712226e-02
## [20,] -0.0722321288 -0.151318355 -0.16709296 -0.102606745 1.542556e-01
## [21,] -0.0580615912 -0.092720598 -0.07673769 -0.132179195 2.824307e-02
## [22,] -0.1151828941 -0.173966488 -0.18581491 -0.080940063 1.089886e-01
## [23,] -0.0005457156 -0.123806673 -0.04368090 -0.050460816 9.999793e-02
## [24,] -0.0168959816 -0.120081044 -0.16170639 -0.172948640 -4.426971e-02
## [25,] -0.0375948699 -0.159150713 -0.11476120 0.007866863 8.679825e-02
## [26,] -0.0658952602 -0.119407199 -0.10435399 -0.141023121 2.139603e-02
## [27,] -0.1228152092 -0.147199774 -0.19342043 -0.139328143 9.330171e-02
## [28,] -0.1019971704 -0.109996569 -0.09308478 -0.162914199 -3.248086e-02
## [29,] -0.1031764252 -0.184049676 -0.20092749 0.010312676 7.778122e-02
## [30,] -0.0645220451 -0.099538867 -0.13625348 -0.144012559 7.676614e-03
## [31,] -0.0962558606 -0.132650156 -0.27057758 -0.165797912 2.000591e-02
## [32,] -0.1187928725 -0.016545200 -0.11595393 -0.098249662 -1.862487e-02
## [33,] -0.0709117003 -0.113727140 -0.33803349 -0.314416296 -1.123839e-01
## [34,] -0.0536284070 -0.120419421 -0.26528371 -0.104483570 6.088653e-03
## [35,] -0.1209319237 -0.057951872 -0.12744776 -0.105981591 -5.559763e-02
## [36,] -0.0845371129 -0.203348419 -0.33658127 -0.296766400 6.758361e-03
## [37,] 0.0837537356 -0.011264878 -0.20036029 -0.268083316 -7.864153e-02
## [38,] 0.1727535015 0.337656491 -0.39041094 -0.388292153 -7.250485e-02
## [39,] 0.4142322531 0.514151440 0.05371699 -0.480304399 -2.734781e-01
## [40,] 0.6969040446 0.839987874 0.67462406 -0.262699689 -3.623794e-01
## [41,] 0.5754393279 0.807322059 0.67292277 0.172841459 -3.159147e-01
## [42,] 0.4958606301 0.849239785 0.89367322 0.598012527 -1.188813e-01
## [43,] 0.0409022007 0.282229324 0.85024434 0.828054802 1.861057e-01
## [44,] -0.2483221540 -0.082079012 0.83342489 0.960843495 2.534562e-01
## [45,] -0.2894303529 -0.071428239 0.52895502 1.046879196 4.799211e-01
## [46,] -0.2174150743 -0.098760967 0.78889885 1.012717017 4.248252e-01
## [47,] -0.2398703447 0.004506965 0.60987599 1.162429172 6.865358e-01
## [48,] -0.0366472446 0.277056353 0.79591393 0.816044898 4.950603e-01
## [49,] 0.2248742497 0.461260882 0.84900944 0.906868475 4.031074e-01
## [50,] 0.6220430741 0.831605623 0.98311458 0.601474370 2.702570e-01
## [51,] 1.0449907515 0.832628773 0.50082938 0.308730919 1.400507e-01
## [52,] 1.0052161855 0.677383857 0.25709651 0.006147671 -1.250069e-01
## [53,] 0.5307133775 0.106910167 -0.14563897 -0.175936707 -1.255067e-01
## [54,] 0.3173482989 -0.274033843 -0.39052534 -0.244130065 2.199889e-02
## [55,] 0.3073631048 -0.060402125 -0.32733231 -0.213793951 -9.828735e-02
## [56,] -0.1045865806 -0.102980922 -0.21431784 -0.207046404 5.524792e-02
## [57,] -0.0550605962 -0.016486846 -0.19771646 -0.103806020 2.178152e-02
## [58,] -0.1408987056 -0.085523152 -0.07536388 0.033272167 6.295762e-02
## [59,] -0.0188158698 -0.046646699 -0.23459984 -0.211008256 -1.057274e-02
## [60,] -0.1265508257 -0.068758169 -0.05520175 0.088088452 1.753768e-01
## [61,] -0.1282660395 -0.081275981 -0.22935551 -0.163716402 1.070145e-01
## [,29] [,30] [,31] [,32] [,33]
## [1,] -0.5080540948 -0.409949322 -0.34130368 -0.30744917 -0.26156102
## [2,] -0.5080540948 -0.409949322 -0.34130368 -0.30744917 -0.26156102
## [3,] -0.5080540948 -0.409949322 -0.34130368 -0.30744917 -0.26156102
## [4,] -0.5080540948 -0.409949322 -0.34130368 -0.30744917 -0.26156102
## [5,] -0.5080540948 -0.409949322 -0.34130368 -0.30744917 -0.26156102
## [6,] 0.0815014299 0.117246342 0.13645942 0.14621697 0.19702581
## [7,] -0.0435078056 0.044914490 0.08840509 0.13706458 0.15684004
## [8,] 0.0104319712 0.057829601 0.08703943 0.09948572 0.15413183
## [9,] -0.0781074355 -0.002230788 0.05051636 0.10483050 0.20509184
## [10,] -0.0008429369 0.076500016 0.13559899 0.19865673 0.24257452
## [11,] 0.1354166292 0.191427705 0.19726199 0.16939828 0.16118069
## [12,] 0.0127409791 0.090484813 0.15867256 0.14062995 0.10920288
## [13,] 0.0242239972 0.072353178 0.15803220 0.25298648 0.26105748
## [14,] 0.1500908682 0.184913995 0.20420851 0.21359122 0.28147128
## [15,] 0.1371510108 0.211390824 0.30970321 0.36506259 0.44758981
## [16,] 0.0277683959 0.216950592 0.39443256 0.44759898 0.48560787
## [17,] 0.1450029330 0.333303838 0.45795179 0.47033553 0.50364699
## [18,] 0.1965020499 0.318790296 0.35570260 0.40224707 0.55919356
## [19,] 0.2097985726 0.326443396 0.37453912 0.44954402 0.61461990
## [20,] 0.2694639016 0.411471286 0.49944166 0.52681884 0.56571873
## [21,] 0.1536657489 0.251256027 0.43685920 0.61621583 0.62230659
## [22,] 0.2672203147 0.368702948 0.48402329 0.60975193 0.44703550
## [23,] 0.2596062055 0.374039362 0.40879907 0.32453320 0.03818991
## [24,] 0.1253128995 0.340895065 0.32656419 0.12563400 -0.06896823
## [25,] 0.1924228390 0.344550337 0.13667759 -0.22909010 -0.28071285
## [26,] 0.1826240618 0.192779505 -0.09371875 -0.32251852 -0.28414785
## [27,] 0.1891556130 0.091505558 -0.24246140 -0.43160326 -0.33349451
## [28,] 0.0688942424 -0.007653886 -0.21664038 -0.26483256 -0.15244735
## [29,] 0.0467243412 -0.068660019 -0.31170766 -0.40343746 -0.28604255
## [30,] 0.0172412268 -0.213032542 -0.39544652 -0.32299376 -0.28016663
## [31,] 0.0484991141 -0.251641010 -0.47863811 -0.40539780 -0.22722036
## [32,] -0.1003189055 -0.300722729 -0.32843240 -0.18858002 -0.14153002
## [33,] -0.1612942354 -0.435887826 -0.48226958 -0.32923710 -0.28285099
## [34,] -0.1566915170 -0.410312413 -0.46007888 -0.31982600 -0.20318432
## [35,] -0.2613094956 -0.515359764 -0.40421129 -0.23567539 -0.27889749
## [36,] -0.1018898493 -0.371509094 -0.39271196 -0.29426698 -0.23201779
## [37,] -0.2899602105 -0.541673308 -0.40346503 -0.19802619 -0.19046967
## [38,] -0.2210081767 -0.462002664 -0.34996004 -0.34273765 -0.20025161
## [39,] -0.3720351696 -0.533953123 -0.36016616 -0.24299429 -0.05545995
## [40,] -0.3231780008 -0.347767843 -0.24622862 -0.16570527 -0.15194334
## [41,] -0.3960006483 -0.535914904 -0.41686832 -0.24880198 -0.21362972
## [42,] -0.2916515235 -0.474296407 -0.42732510 -0.22746939 -0.18858155
## [43,] -0.0391599589 -0.217957944 -0.21105431 -0.17208510 -0.21645733
## [44,] -0.0996189907 -0.358615303 -0.32791958 -0.24418249 -0.17215983
## [45,] 0.0936898523 -0.205971262 -0.26575497 -0.25994342 -0.22573733
## [46,] -0.0455512842 -0.194533967 -0.16119564 -0.17630828 -0.18924663
## [47,] 0.1879742936 -0.049886734 -0.26221482 -0.34857989 -0.29601047
## [48,] 0.2509070874 0.064784712 -0.19765686 -0.23875864 -0.13789657
## [49,] 0.1702283455 0.024281613 -0.25615065 -0.21013319 -0.10127486
## [50,] 0.2658876107 0.388341216 0.07681344 -0.17420709 -0.25497120
## [51,] 0.1420165135 0.239784133 -0.04337115 -0.24332732 -0.13347254
## [52,] 0.0962352916 0.283865232 0.11489711 -0.10752769 -0.19627005
## [53,] 0.0625662558 0.274644708 0.26422295 0.05997070 -0.16263935
## [54,] 0.1588875906 0.362774817 0.35371884 -0.03638773 -0.31374185
## [55,] 0.0312746055 0.342031459 0.53337209 0.27148014 -0.06017035
## [56,] 0.2222683386 0.394842193 0.44919653 0.21512077 -0.07656922
## [57,] 0.0453853327 0.227870149 0.50565057 0.50946233 0.18079969
## [58,] 0.1368785567 0.274923065 0.43691727 0.45886355 0.20326773
## [59,] 0.1919858555 0.373317751 0.45580829 0.47823461 0.37847571
## [60,] 0.2271423745 0.387866542 0.51979214 0.62067266 0.49614786
## [61,] 0.2876093680 0.292253378 0.33088849 0.50747327 0.58526328
## [,34] [,35] [,36] [,37] [,38]
## [1,] -0.231707386 -0.20911416 -0.190589293 -0.17656549 -0.17599065
## [2,] -0.231707386 -0.20911416 -0.190589293 -0.17656549 -0.17599065
## [3,] -0.231707386 -0.20911416 -0.190589293 -0.17656549 -0.17599065
## [4,] -0.231707386 -0.20911416 -0.190589293 -0.17656549 -0.17599065
## [5,] -0.231707386 -0.20911416 -0.190589293 -0.17656549 -0.17599065
## [6,] 0.222437944 -0.01774630 -0.234581254 -0.18514512 0.61332562
## [7,] 0.205337666 0.14944783 0.024388864 0.60860181 1.12056409
## [8,] 0.133953762 -0.06477400 0.231554366 1.03710380 0.81379799
## [9,] 0.278194904 0.59349914 0.956404082 1.09870157 0.30072415
## [10,] 0.319999297 0.79217696 1.103617377 0.58457048 -0.05726726
## [11,] 0.111025760 0.77519766 1.188501833 0.46289498 -0.01282732
## [12,] 0.103268814 0.53492603 0.978870829 0.68454211 0.45017633
## [13,] 0.250439684 0.25640986 0.692401070 1.05184025 1.15854422
## [14,] 0.363149207 0.29465470 0.429751323 0.69327112 0.86342874
## [15,] 0.469925905 0.30631328 0.312757937 0.46168017 0.59647263
## [16,] 0.535837467 0.74035272 0.463989005 0.37941991 0.53021728
## [17,] 0.598879333 0.53891910 0.545593926 0.54004280 0.38685893
## [18,] 0.736794711 0.58903240 0.504909692 0.45174780 0.17123579
## [19,] 0.734814080 0.65293424 0.337780837 -0.03314276 -0.26397344
## [20,] 0.576144529 0.30417129 0.058449731 -0.19481425 -0.33033820
## [21,] 0.521237797 0.10319798 -0.143021901 -0.34559551 -0.29673263
## [22,] 0.076805457 -0.26133715 -0.322797956 -0.34749010 -0.27867727
## [23,] -0.282542789 -0.22479940 -0.217622012 -0.25067185 -0.21286763
## [24,] -0.234308598 -0.26180427 -0.215457644 -0.19913126 -0.16594576
## [25,] -0.202370846 -0.10305473 -0.082601809 -0.07864276 -0.09713498
## [26,] -0.159403924 -0.21735771 -0.218615233 -0.17694749 -0.14409353
## [27,] -0.266075554 -0.02784363 -0.096310301 -0.12458328 -0.13267327
## [28,] -0.033131671 -0.14230050 -0.231799422 -0.20816413 -0.20966791
## [29,] -0.197612194 -0.09290296 -0.146239369 -0.10822213 -0.14486060
## [30,] -0.270903930 -0.24135667 -0.224001324 -0.11409971 -0.01970957
## [31,] -0.071599921 -0.14272727 -0.124072370 -0.08021403 -0.04965736
## [32,] -0.140468542 -0.14754632 -0.210850092 -0.11210950 -0.07727172
## [33,] -0.260408236 -0.15140106 -0.159644120 -0.17969430 -0.14269711
## [34,] -0.085860153 -0.10658657 -0.187028509 -0.22224088 -0.09870626
## [35,] -0.195848316 -0.15528155 -0.204937004 -0.29574982 -0.11998365
## [36,] -0.050495543 -0.11915561 -0.252779718 -0.29733487 -0.19056222
## [37,] -0.005969382 -0.01902243 -0.129118712 -0.19745556 -0.24903166
## [38,] -0.288756696 -0.09222140 -0.166479450 -0.16480842 -0.18235264
## [39,] -0.085332356 -0.09869278 -0.217071186 -0.23712131 -0.14702001
## [40,] -0.192303537 0.01750013 -0.090244841 -0.09355747 -0.04495900
## [41,] -0.118218008 -0.13732813 -0.151439282 -0.04661203 0.06990913
## [42,] -0.127065495 -0.26420616 -0.146775044 -0.04795850 0.06182993
## [43,] -0.215804337 -0.10582180 -0.085811431 -0.10893822 -0.03792191
## [44,] -0.058377162 -0.10174588 -0.165864507 -0.23567590 -0.15852224
## [45,] -0.207617683 -0.17704466 -0.123936137 -0.13902310 -0.14244914
## [46,] -0.036458254 -0.11838732 -0.155195885 -0.20917607 -0.18599603
## [47,] -0.142114452 -0.10381180 -0.006534036 -0.01399881 -0.10704679
## [48,] -0.156969943 -0.19568248 -0.074766315 0.02678584 -0.06862393
## [49,] -0.086875924 -0.10434514 -0.111674736 -0.07335140 -0.11942990
## [50,] -0.335035910 -0.15166902 -0.112908901 -0.16436257 -0.16439890
## [51,] 0.014679255 -0.13807661 -0.131967498 -0.06029265 -0.01038304
## [52,] -0.093214873 -0.09085328 -0.078389950 -0.05261790 -0.07008476
## [53,] -0.252211569 -0.15522093 -0.098081069 -0.10834537 -0.14639877
## [54,] -0.244498709 -0.20928966 -0.203786085 -0.19354313 -0.17892310
## [55,] -0.175921089 -0.17313398 -0.172137900 -0.18471512 -0.24137423
## [56,] -0.240057802 -0.16767521 -0.164965310 -0.16430537 -0.19687582
## [57,] -0.173390516 -0.09692870 -0.201510296 -0.23024099 -0.20043834
## [58,] -0.143753186 -0.21727334 -0.235903084 -0.21099187 -0.10732708
## [59,] 0.183951859 -0.25145784 -0.240583479 -0.16146160 -0.07887735
## [60,] 0.174109218 -0.03832642 -0.197603289 -0.25942133 -0.23472959
## [61,] 0.378527380 0.08302814 -0.140915948 -0.28640677 -0.13831963
## [,39] [,40] [,41] [,42] [,43]
## [1,] -0.1733153263 -0.157596057 -0.138757525 -0.134479579 -0.129849219
## [2,] -0.1733153263 -0.157596057 -0.138757525 -0.134479579 -0.129849219
## [3,] -0.1733153263 -0.157596057 -0.138757525 -0.134479579 -0.129849219
## [4,] -0.1733153263 -0.157596057 -0.138757525 -0.134479579 -0.129849219
## [5,] -0.1733153263 -0.157596057 -0.138757525 -0.134479579 -0.129849219
## [6,] 1.1214677407 1.160861349 0.758187126 0.494290607 0.444329191
## [7,] 0.8245025748 0.387101182 0.127651737 0.226119556 0.171596291
## [8,] 0.1582607554 0.124856573 0.273432481 0.351704827 0.132442627
## [9,] -0.1535494924 0.037483759 0.256292130 0.132808043 0.177549254
## [10,] 0.0930702531 0.007111035 0.070394754 0.205734959 0.436287118
## [11,] 0.3158770198 0.174446579 0.230057244 0.594227714 0.849708937
## [12,] 0.6102419608 0.759423032 0.908513575 1.160688585 1.253061113
## [13,] 1.0967054692 1.231619016 1.111992878 0.984386210 0.875876555
## [14,] 0.8508033672 0.872580065 0.822528968 0.705671230 0.390511030
## [15,] 0.5854400809 0.520541767 0.333537555 0.161211573 0.041919779
## [16,] 0.5820063118 0.391198454 0.039824584 -0.261531342 -0.333405597
## [17,] 0.1169067586 -0.180019798 -0.325695083 -0.327584226 -0.295036899
## [18,] -0.2214033082 -0.378769268 -0.331064650 -0.276845793 -0.166980871
## [19,] -0.2983944036 -0.187453177 -0.187855206 -0.319925837 -0.117040427
## [20,] -0.3172304896 -0.261384658 -0.191563899 -0.146333733 -0.126776052
## [21,] -0.1702314325 -0.154508480 -0.190988249 -0.187621726 -0.067396046
## [22,] -0.1514647757 -0.194612874 -0.240651822 -0.121595345 -0.099752261
## [23,] -0.1148732758 -0.179605463 -0.203767115 -0.072217648 -0.155032757
## [24,] -0.1016490595 -0.094845490 -0.089877323 -0.025194308 -0.048929187
## [25,] -0.1269289080 -0.221904895 -0.283796379 -0.251706244 -0.096612678
## [26,] -0.0785270003 -0.058671520 -0.063228304 -0.063061978 -0.136424157
## [27,] -0.1464169220 -0.105923942 -0.107985031 -0.198959463 -0.085203120
## [28,] -0.2284916782 -0.134217835 -0.066237708 -0.120014783 -0.111878262
## [29,] -0.2121003637 -0.137321937 -0.071725242 -0.087627829 -0.097186087
## [30,] -0.0324016393 -0.139518399 -0.228605905 -0.170905386 0.069386457
## [31,] -0.0628721956 -0.083059816 -0.083460449 -0.086524600 -0.137064244
## [32,] -0.1460777392 -0.089827751 -0.000737399 -0.028490972 -0.024463818
## [33,] -0.1005637640 -0.076533229 -0.073330579 -0.038887847 0.110650319
## [34,] 0.0157287396 -0.098209142 -0.174638246 -0.106334312 -0.022918912
## [35,] 0.1128741786 0.020844938 -0.141405098 -0.094724695 -0.060125707
## [36,] 0.0047989982 0.115639689 0.007410459 -0.124687400 -0.072683224
## [37,] -0.0933390585 0.170319741 0.069805196 -0.218543596 -0.215231816
## [38,] -0.2855340977 -0.156707820 0.033845113 -0.161426227 -0.041209370
## [39,] -0.1198232441 0.087656222 0.300994426 0.111346880 0.029297921
## [40,] -0.1050195695 -0.052191240 0.044427458 -0.085245463 -0.141550096
## [41,] -0.1077842924 -0.208538904 -0.139121879 -0.176114960 -0.101154202
## [42,] -0.0002325669 -0.106856448 -0.065280546 -0.084994484 -0.019977238
## [43,] -0.0281527788 -0.090896338 -0.093848559 -0.149249278 -0.122358794
## [44,] -0.1207122423 -0.121912802 -0.087058704 -0.092981988 -0.100347391
## [45,] -0.1716213422 -0.202434916 -0.146135643 -0.148128699 -0.107459321
## [46,] -0.0500115805 0.026429990 -0.071633708 -0.182988675 -0.094348345
## [47,] -0.1838042888 -0.211246766 -0.146177386 -0.014449547 -0.004282555
## [48,] -0.2348780086 -0.179086639 0.034288928 0.248545578 0.088386327
## [49,] -0.1322644543 -0.122597450 -0.032587000 0.082425653 -0.209579576
## [50,] -0.0336234770 0.018159154 -0.091935637 -0.135752771 0.212064283
## [51,] 0.0486281946 0.030699641 -0.038205654 -0.057264950 -0.013229699
## [52,] -0.1226197056 -0.154953591 -0.179026165 -0.189303640 -0.073207029
## [53,] -0.1371506028 -0.084228477 -0.049654737 -0.008524389 -0.153722875
## [54,] -0.1726073139 -0.203661671 -0.015421942 0.350902935 -0.053711353
## [55,] -0.2349421922 -0.001100948 0.255698663 0.371875637 -0.124832135
## [56,] -0.1663185765 -0.103826969 -0.062990958 -0.113878131 -0.225139125
## [57,] -0.1629974189 -0.124487906 -0.082604182 -0.081199542 -0.084717022
## [58,] -0.0524925975 -0.071408963 -0.088464630 -0.043449465 -0.074804462
## [59,] -0.0720905025 -0.118061591 -0.237207684 -0.262709051 -0.160871718
## [60,] -0.1738405763 -0.115839681 -0.107735723 -0.045560141 -0.148806730
## [61,] -0.0456988365 -0.142565107 -0.193391228 -0.147001623 -0.108369947
## [,44] [,45] [,46] [,47] [,48]
## [1,] -0.134134456 -0.121399097 -0.114716041 -0.0978825776 -0.08708417
## [2,] -0.134134456 -0.121399097 -0.114716041 -0.0978825776 -0.08708417
## [3,] -0.134134456 -0.121399097 -0.114716041 -0.0978825776 -0.08708417
## [4,] -0.134134456 -0.121399097 -0.114716041 -0.0978825776 -0.08708417
## [5,] -0.134134456 -0.121399097 -0.114716041 -0.0978825776 -0.08708417
## [6,] 0.253857241 0.465722039 0.363783054 0.4456701181 0.40586928
## [7,] 0.333644997 0.423103642 0.077757096 0.1960005577 0.42663068
## [8,] 0.274017119 0.309112416 0.230625290 0.3115367307 0.54429897
## [9,] 0.204493417 0.166127273 0.416838498 0.7295801177 0.86938823
## [10,] 0.629206557 0.711754352 1.117057310 1.3982143394 1.39490435
## [11,] 1.195870273 1.233511083 1.327263982 1.2052821282 0.88117765
## [12,] 1.274379254 0.940196215 0.685494350 0.2347118680 -0.06803560
## [13,] 0.665075723 0.291526896 0.040862811 -0.2051522153 -0.33249137
## [14,] 0.061629992 -0.189371474 -0.323682725 -0.4421375069 -0.42954207
## [15,] -0.222888858 -0.352409343 -0.368286765 -0.2402626173 -0.15809592
## [16,] -0.354842791 -0.263800612 -0.199595876 -0.3207010839 -0.30257870
## [17,] -0.358786674 -0.304770291 -0.179415006 -0.1485713981 -0.14137735
## [18,] -0.242952150 -0.240402741 -0.209953373 -0.1319260409 -0.10233240
## [19,] -0.173914391 -0.117295350 -0.111182640 -0.1984196498 -0.21131066
## [20,] -0.222242116 -0.202387918 -0.196311833 -0.0628483706 0.02036630
## [21,] -0.052951041 0.003467002 0.030225384 -0.1025832741 -0.10784399
## [22,] -0.090606929 -0.009566688 0.064974668 0.0141313794 -0.01765881
## [23,] -0.186634002 -0.096219895 0.066382067 0.0021813017 -0.03238387
## [24,] -0.043948566 -0.104936877 -0.041776324 -0.0516580809 -0.08933861
## [25,] -0.128639679 -0.169282630 -0.139768833 -0.1330824775 -0.11736832
## [26,] -0.090861235 -0.111640829 -0.054933620 -0.0455879691 -0.06391791
## [27,] 0.073996423 0.015474060 -0.075441000 0.0093990309 -0.10314129
## [28,] -0.032764941 -0.111838161 -0.143362635 -0.0787887819 -0.07141565
## [29,] 0.106711599 0.041682533 -0.084480567 -0.0147665285 -0.12167385
## [30,] 0.210561352 0.053679763 -0.206411940 -0.0154383217 -0.02637951
## [31,] -0.144636888 -0.083456524 -0.057832791 0.0207129363 -0.00255944
## [32,] -0.072558665 -0.090149693 -0.082050369 -0.1109319328 -0.08255830
## [33,] 0.142503054 -0.028977777 -0.207059491 -0.0804655111 -0.12079387
## [34,] 0.046904409 0.027415859 -0.016267400 0.0122304863 -0.03691697
## [35,] -0.051570277 0.093324320 0.169950212 -0.0849704806 -0.04694013
## [36,] -0.063668627 0.087571162 0.160142196 -0.0928017400 -0.13164017
## [37,] -0.159093304 -0.021587288 0.119774197 -0.0201813474 -0.08753457
## [38,] -0.119492288 -0.039739714 -0.132686548 -0.2266719426 -0.09678070
## [39,] 0.056892695 -0.145594776 -0.094714433 0.0705608769 0.02830662
## [40,] -0.025172765 -0.072087467 -0.061553811 -0.0782632983 -0.05785237
## [41,] -0.053027961 0.252608052 0.540013809 -0.0696296005 -0.09992980
## [42,] -0.177950196 -0.026531050 0.222301671 -0.1386758151 0.02137063
## [43,] -0.001865198 -0.040211563 -0.008523700 0.0241115197 -0.01544150
## [44,] 0.017982022 -0.088677048 -0.145929542 -0.0280317735 0.05064503
## [45,] -0.194405387 -0.108886075 -0.093971807 -0.0174402038 0.12104265
## [46,] -0.067144159 -0.089142718 -0.061183012 0.0957871654 0.19232282
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## [48,] -0.032488609 -0.088123576 -0.110457582 0.0172111761 -0.02699554
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## [801] -1.881851e-02 -1.716263e-02 2.374778e-02 7.550463e-02
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## [809] -8.131063e-02 -6.959975e-03 2.881014e-04 -4.196651e-02
## [813] 2.117823e-02 1.237606e-01 1.689351e-01 1.663000e-01
## [817] 1.406374e-01 9.233882e-02 9.018704e-02 1.731037e-01
## [821] 1.896152e-01 7.487024e-02 1.813570e-01 1.269929e-01
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## [829] 1.735327e-01 1.485756e-01 4.359700e-02 -4.528614e-02
## [833] -7.423349e-02 -1.125104e-01 1.526842e-01 -1.501527e-02
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## [905] 4.835782e-02 -3.854118e-02 1.122917e-01 -4.760513e-02
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## [913] 4.483802e-02 9.509952e-02 1.005921e-01 -5.841743e-01
## [917] -5.841743e-01 -5.841743e-01 -5.841743e-01 -5.841743e-01
## [921] -4.992549e-02 -5.862983e-02 3.842059e-02 8.119010e-03
## [925] -5.240957e-02 4.728682e-02 5.618257e-02 -1.174856e-01
## [929] -8.322618e-03 3.780783e-02 5.642160e-02 -1.974692e-02
## [933] -2.359204e-02 5.921291e-02 1.853707e-01 6.572950e-02
## [937] 2.109551e-01 5.400227e-02 1.633425e-01 1.566663e-01
## [941] 2.417063e-01 1.178905e-01 1.191757e-01 1.288594e-01
## [945] -6.986779e-03 3.205719e-02 4.119280e-02 1.888953e-01
## [949] 1.579104e-01 1.701920e-01 1.102549e-01 9.952587e-02
## [953] 8.664485e-02 8.764734e-02 -7.101576e-02 -1.322753e-01
## [957] 8.249198e-03 -5.880792e-02 -1.907780e-03 -5.719085e-02
## [961] 1.016711e-01 5.303783e-02 -3.316647e-02 9.486385e-02
## [965] -1.451000e-01 1.266662e-02 -7.625071e-02 4.285738e-02
## [969] -3.608975e-03 1.301184e-01 6.386792e-02 2.239704e-01
## [973] 1.341605e-01 -3.104189e-02 2.663628e-01 1.503999e-02
## [977] -5.925591e-01 -5.925591e-01 -5.925591e-01 -5.925591e-01
## [981] -5.925591e-01 -2.444972e-02 -6.928251e-02 -2.804072e-02
## [985] 8.564981e-03 -3.515891e-02 5.288558e-03 4.607701e-02
## [989] -1.096193e-01 -5.995886e-02 -1.918472e-02 2.772966e-02
## [993] 7.046351e-02 -1.025927e-02 4.179528e-02 1.464206e-01
## [997] 7.366182e-02 2.100102e-01 -2.203941e-02 1.207087e-01
## [1001] 9.387495e-02 2.477696e-01 3.879752e-02 6.072647e-02
## [1005] 7.820849e-02 2.820084e-02 1.046575e-01 -1.495265e-02
## [1009] 2.482354e-01 1.410495e-01 2.143129e-01 1.278808e-01
## [1013] 1.678140e-01 1.166034e-01 1.847752e-01 -1.981173e-02
## [1017] 8.150613e-02 1.213084e-01 1.721947e-01 1.047202e-01
## [1021] 7.769997e-02 1.448327e-01 -7.487258e-02 -7.858689e-02
## [1025] -5.378093e-02 -2.341029e-01 -1.105975e-01 -1.982464e-02
## [1029] 1.336425e-03 -2.447720e-02 9.940260e-02 8.110144e-02
## [1033] 1.641881e-01 1.359954e-01 1.540871e-02 1.679972e-01
## [1037] 4.775598e-04 -5.759138e-01 -5.759138e-01 -5.759138e-01
## [1041] -5.759138e-01 -5.759138e-01 -4.240926e-02 -1.051316e-01
## [1045] -9.341221e-02 -4.412239e-02 -6.085673e-02 8.579434e-06
## [1049] 4.339442e-02 -1.572927e-01 -1.193711e-01 -1.247733e-01
## [1053] -3.221069e-02 7.906966e-02 -1.165956e-02 -3.267748e-02
## [1057] 4.581762e-02 8.187247e-02 1.245948e-01 -1.753753e-01
## [1061] 2.811620e-02 -7.092510e-02 1.108879e-01 -1.449833e-01
## [1065] -1.101498e-01 -1.045264e-01 -4.587034e-02 5.504381e-02
## [1069] -1.325079e-01 7.782810e-02 -5.744792e-02 3.982437e-02
## [1073] 1.662498e-02 9.021951e-02 4.080910e-01 5.370940e-01
## [1077] 3.423413e-01 5.642856e-01 5.931182e-01 7.543758e-01
## [1081] 6.172184e-01 5.902263e-01 5.460085e-01 1.040108e-01
## [1085] 8.040829e-02 -1.623407e-01 -3.774249e-01 -3.648955e-01
## [1089] -1.778821e-01 -1.550205e-01 -2.016538e-01 9.030576e-02
## [1093] 3.741765e-02 -2.486924e-02 6.611062e-02 6.430953e-02
## [1097] -1.522948e-01 -2.697043e-02 -5.662048e-01 -5.662048e-01
## [1101] -5.662048e-01 -5.662048e-01 -5.662048e-01 1.329791e-02
## [1105] -2.149050e-01 -1.226854e-02 -1.027015e-01 -1.756613e-01
## [1109] 3.806257e-02 -9.501407e-02 -1.012665e-01 -3.150392e-01
## [1113] -3.869338e-02 -1.315892e-01 -6.581840e-02 9.907560e-02
## [1117] -4.027058e-02 -3.331652e-02 -5.469365e-02 -2.328819e-02
## [1121] -1.565024e-01 -7.143504e-02 -1.449642e-01 -1.435718e-01
## [1125] -1.319882e-01 -3.094379e-01 -2.224801e-01 -1.627678e-01
## [1129] -4.841088e-02 -5.665056e-02 -1.994235e-01 -1.992264e-01
## [1133] -1.025967e-01 4.493607e-03 7.262202e-02 6.982381e-01
## [1137] 8.206864e-01 6.999864e-01 7.841060e-01 6.384089e-01
## [1141] 6.926004e-01 4.836348e-01 7.167010e-01 7.572441e-01
## [1145] 6.440632e-01 7.698056e-01 1.599581e-01 7.829759e-02
## [1149] -2.619492e-01 -4.371972e-01 -4.405795e-01 -2.494589e-01
## [1153] -4.415316e-02 -9.953130e-02 -1.666314e-01 -1.115200e-01
## [1157] 1.123223e-01 -2.176606e-01 -6.991798e-02 -5.422674e-01
## [1161] -5.422674e-01 -5.422674e-01 -5.422674e-01 -5.422674e-01
## [1165] 4.860346e-02 -1.798117e-01 -3.718593e-02 -1.032004e-01
## [1169] -1.159059e-01 -1.002395e-02 -9.260889e-02 -1.583525e-01
## [1173] -1.853735e-01 8.473630e-03 -7.854839e-02 -1.423523e-02
## [1177] 6.481372e-02 -2.597397e-02 -6.232602e-02 -5.025969e-02
## [1181] 2.483625e-02 -1.014191e-01 -2.963317e-02 -1.305020e-01
## [1185] -1.021203e-01 -9.499595e-02 -2.196950e-01 -1.244341e-01
## [1189] -5.690593e-02 -1.011981e-01 -1.578098e-01 -7.298071e-02
## [1193] 1.233217e-02 -1.249440e-01 -9.484358e-02 1.180805e-01
## [1197] 3.996888e-01 9.655907e-01 8.439402e-01 4.872845e-01
## [1201] 2.318124e-01 2.839276e-01 -5.439325e-02 -2.770887e-02
## [1205] 1.150957e-01 1.761122e-01 6.355301e-01 4.520076e-01
## [1209] 6.571153e-01 5.017270e-01 1.410120e-01 -1.705935e-01
## [1213] -1.631977e-01 -2.438787e-01 -9.540953e-02 -7.947232e-02
## [1217] -6.296607e-02 2.002868e-02 -6.805933e-02 1.429161e-02
## [1221] -5.563530e-01 -5.563530e-01 -5.563530e-01 -5.563530e-01
## [1225] -5.563530e-01 3.673015e-02 -8.802116e-02 -1.320631e-01
## [1229] -6.483240e-02 -5.623318e-02 -1.126542e-01 -7.289408e-02
## [1233] -1.310130e-01 -9.923940e-02 4.721501e-03 -3.288825e-02
## [1237] 3.072726e-02 3.159619e-02 -3.083114e-02 2.315515e-04
## [1241] -4.871895e-02 4.186158e-02 -3.149073e-02 1.479301e-02
## [1245] -2.841702e-02 -6.619917e-04 3.146944e-02 1.613067e-02
## [1249] 1.184222e-01 -5.652383e-02 1.270775e-02 -1.401082e-01
## [1253] 6.025048e-03 8.497059e-02 -9.755357e-02 -2.113780e-02
## [1257] 5.795572e-02 1.190893e-01 6.657301e-01 7.564654e-01
## [1261] 5.382874e-01 1.586220e-01 2.849379e-02 -1.550217e-01
## [1265] -7.386026e-03 -6.083088e-02 -9.987685e-02 1.253007e-01
## [1269] 4.136915e-02 2.786119e-02 3.630567e-01 7.255330e-01
## [1273] 9.879314e-01 3.204162e-01 -2.253217e-01 -1.171511e-01
## [1277] -1.983394e-01 -1.179997e-01 -2.142567e-01 -3.035219e-02
## [1281] -9.291564e-02 -5.602777e-01 -5.602777e-01 -5.602777e-01
## [1285] -5.602777e-01 -5.602777e-01 -4.646363e-03 -8.529044e-02
## [1289] -1.268957e-01 -3.824541e-03 -8.156510e-02 -1.922178e-01
## [1293] -8.114047e-02 -1.444242e-01 -5.274972e-02 -3.834084e-02
## [1297] -3.287009e-02 -2.875284e-03 6.467017e-03 -4.954897e-02
## [1301] 1.456285e-02 -8.120352e-02 -3.109736e-03 -4.772447e-02
## [1305] -1.464422e-02 -8.220977e-02 -8.434194e-02 -9.745393e-02
## [1309] -1.175719e-01 -1.102364e-02 -1.908194e-01 4.114024e-02
## [1313] -8.667574e-02 -8.172732e-02 3.397160e-04 -3.439964e-02
## [1317] 3.993977e-02 -5.980582e-02 1.281738e-01 3.921658e-01
## [1321] 7.686002e-01 6.352872e-01 1.096625e-01 -1.214785e-01
## [1325] -1.476039e-01 -3.998785e-03 -1.612550e-01 -9.287418e-02
## [1329] 1.673017e-01 2.531552e-01 -1.481686e-03 2.448724e-01
## [1333] 6.389124e-01 1.066635e+00 1.096681e+00 3.108923e-01
## [1337] -4.861697e-02 -1.762192e-01 -1.860669e-01 -2.033148e-01
## [1341] -3.186382e-02 -4.952551e-02 -5.559485e-01 -5.559485e-01
## [1345] -5.559485e-01 -5.559485e-01 -5.559485e-01 -8.583696e-02
## [1349] -4.166223e-02 -1.293624e-01 1.573379e-02 -3.069585e-02
## [1353] -2.513974e-01 -1.286614e-01 -8.167438e-02 2.241004e-02
## [1357] -6.607516e-02 -1.881157e-02 -1.092013e-03 -3.549723e-02
## [1361] -1.635668e-02 -1.503313e-02 -4.215415e-02 -1.848789e-01
## [1365] -1.348194e-01 -5.460816e-02 -7.011194e-02 -7.848347e-02
## [1369] -9.080607e-02 -6.971614e-02 -1.678387e-02 -1.547196e-01
## [1373] -2.261057e-02 -1.053080e-01 -9.944191e-02 -5.495451e-02
## [1377] -9.044168e-02 -3.007747e-02 -2.607109e-02 6.445922e-02
## [1381] 3.413760e-01 7.120651e-01 5.371311e-01 9.334200e-02
## [1385] -5.843073e-02 -6.095969e-02 -2.517563e-01 -2.442440e-01
## [1389] -3.116486e-01 -4.391710e-02 2.649448e-01 2.966450e-01
## [1393] 6.907169e-01 8.724733e-01 8.305829e-01 1.092194e+00
## [1397] 6.370305e-01 2.052931e-02 -1.104400e-01 -1.819218e-01
## [1401] -8.422976e-02 -8.639245e-02 -4.980744e-02 -5.518443e-01
## [1405] -5.518443e-01 -5.518443e-01 -5.518443e-01 -5.518443e-01
## [1409] -1.458690e-01 -1.905018e-02 -1.222385e-01 -2.877248e-02
## [1413] -3.249287e-02 -2.359065e-01 -1.245243e-01 -5.368023e-02
## [1417] 7.498338e-02 -3.279043e-02 -2.632441e-02 -2.308051e-03
## [1421] -6.329250e-02 -5.106647e-02 -7.223213e-02 -5.806159e-02
## [1425] -1.151829e-01 -5.457156e-04 -1.689598e-02 -3.759487e-02
## [1429] -6.589526e-02 -1.228152e-01 -1.019972e-01 -1.031764e-01
## [1433] -6.452205e-02 -9.625586e-02 -1.187929e-01 -7.091170e-02
## [1437] -5.362841e-02 -1.209319e-01 -8.453711e-02 8.375374e-02
## [1441] 1.727535e-01 4.142323e-01 6.969040e-01 5.754393e-01
## [1445] 4.958606e-01 4.090220e-02 -2.483222e-01 -2.894304e-01
## [1449] -2.174151e-01 -2.398703e-01 -3.664724e-02 2.248742e-01
## [1453] 6.220431e-01 1.044991e+00 1.005216e+00 5.307134e-01
## [1457] 3.173483e-01 3.073631e-01 -1.045866e-01 -5.506060e-02
## [1461] -1.408987e-01 -1.881587e-02 -1.265508e-01 -1.282660e-01
## [1465] -5.383611e-01 -5.383611e-01 -5.383611e-01 -5.383611e-01
## [1469] -5.383611e-01 -1.409097e-01 -3.641926e-02 -1.375542e-01
## [1473] -1.024768e-01 -8.413123e-02 -1.780149e-01 -1.006299e-01
## [1477] 4.568935e-03 1.706410e-02 -4.287294e-02 -2.532612e-02
## [1481] -8.044998e-02 -5.147195e-02 -4.599103e-02 -1.513184e-01
## [1485] -9.272060e-02 -1.739665e-01 -1.238067e-01 -1.200810e-01
## [1489] -1.591507e-01 -1.194072e-01 -1.471998e-01 -1.099966e-01
## [1493] -1.840497e-01 -9.953887e-02 -1.326502e-01 -1.654520e-02
## [1497] -1.137271e-01 -1.204194e-01 -5.795187e-02 -2.033484e-01
## [1501] -1.126488e-02 3.376565e-01 5.141514e-01 8.399879e-01
## [1505] 8.073221e-01 8.492398e-01 2.822293e-01 -8.207901e-02
## [1509] -7.142824e-02 -9.876097e-02 4.506965e-03 2.770564e-01
## [1513] 4.612609e-01 8.316056e-01 8.326288e-01 6.773839e-01
## [1517] 1.069102e-01 -2.740338e-01 -6.040212e-02 -1.029809e-01
## [1521] -1.648685e-02 -8.552315e-02 -4.664670e-02 -6.875817e-02
## [1525] -8.127598e-02 -5.227153e-01 -5.227153e-01 -5.227153e-01
## [1529] -5.227153e-01 -5.227153e-01 -1.056868e-01 -7.346626e-02
## [1533] -1.396177e-01 -1.868746e-01 -8.777257e-02 -1.320981e-01
## [1537] -1.032401e-01 3.204123e-02 -4.099602e-02 -1.191588e-01
## [1541] -3.959388e-02 -1.477813e-01 -8.585346e-02 -5.609015e-02
## [1545] -1.670930e-01 -7.673769e-02 -1.858149e-01 -4.368090e-02
## [1549] -1.617064e-01 -1.147612e-01 -1.043540e-01 -1.934204e-01
## [1553] -9.308478e-02 -2.009275e-01 -1.362535e-01 -2.705776e-01
## [1557] -1.159539e-01 -3.380335e-01 -2.652837e-01 -1.274478e-01
## [1561] -3.365813e-01 -2.003603e-01 -3.904109e-01 5.371699e-02
## [1565] 6.746241e-01 6.729228e-01 8.936732e-01 8.502443e-01
## [1569] 8.334249e-01 5.289550e-01 7.888989e-01 6.098760e-01
## [1573] 7.959139e-01 8.490094e-01 9.831146e-01 5.008294e-01
## [1577] 2.570965e-01 -1.456390e-01 -3.905253e-01 -3.273323e-01
## [1581] -2.143178e-01 -1.977165e-01 -7.536388e-02 -2.345998e-01
## [1585] -5.520175e-02 -2.293555e-01 -5.425686e-01 -5.425686e-01
## [1589] -5.425686e-01 -5.425686e-01 -5.425686e-01 2.994249e-02
## [1593] -1.406301e-01 -1.201124e-01 -1.925566e-01 -1.341849e-01
## [1597] 1.636786e-02 -7.119444e-02 1.033599e-02 -1.062820e-02
## [1601] 5.776102e-02 -9.791026e-02 -4.100888e-02 -5.968597e-02
## [1605] -1.633104e-01 -1.026067e-01 -1.321792e-01 -8.094006e-02
## [1609] -5.046082e-02 -1.729486e-01 7.866863e-03 -1.410231e-01
## [1613] -1.393281e-01 -1.629142e-01 1.031268e-02 -1.440126e-01
## [1617] -1.657979e-01 -9.824966e-02 -3.144163e-01 -1.044836e-01
## [1621] -1.059816e-01 -2.967664e-01 -2.680833e-01 -3.882922e-01
## [1625] -4.803044e-01 -2.626997e-01 1.728415e-01 5.980125e-01
## [1629] 8.280548e-01 9.608435e-01 1.046879e+00 1.012717e+00
## [1633] 1.162429e+00 8.160449e-01 9.068685e-01 6.014744e-01
## [1637] 3.087309e-01 6.147671e-03 -1.759367e-01 -2.441301e-01
## [1641] -2.137940e-01 -2.070464e-01 -1.038060e-01 3.327217e-02
## [1645] -2.110083e-01 8.808845e-02 -1.637164e-01 -5.519493e-01
## [1649] -5.519493e-01 -5.519493e-01 -5.519493e-01 -5.519493e-01
## [1653] 7.841052e-02 -1.292610e-01 -4.079854e-03 -1.464402e-01
## [1657] -9.735390e-02 9.366909e-02 -3.408013e-02 4.678593e-03
## [1661] 7.563332e-02 1.747782e-01 -3.766755e-02 -3.781622e-05
## [1665] 7.391712e-02 5.712226e-02 1.542556e-01 2.824307e-02
## [1669] 1.089886e-01 9.999793e-02 -4.426971e-02 8.679825e-02
## [1673] 2.139603e-02 9.330171e-02 -3.248086e-02 7.778122e-02
## [1677] 7.676614e-03 2.000591e-02 -1.862487e-02 -1.123839e-01
## [1681] 6.088653e-03 -5.559763e-02 6.758361e-03 -7.864153e-02
## [1685] -7.250485e-02 -2.734781e-01 -3.623794e-01 -3.159147e-01
## [1689] -1.188813e-01 1.861057e-01 2.534562e-01 4.799211e-01
## [1693] 4.248252e-01 6.865358e-01 4.950603e-01 4.031074e-01
## [1697] 2.702570e-01 1.400507e-01 -1.250069e-01 -1.255067e-01
## [1701] 2.199889e-02 -9.828735e-02 5.524792e-02 2.178152e-02
## [1705] 6.295762e-02 -1.057274e-02 1.753768e-01 1.070145e-01
## [1709] -5.080541e-01 -5.080541e-01 -5.080541e-01 -5.080541e-01
## [1713] -5.080541e-01 8.150143e-02 -4.350781e-02 1.043197e-02
## [1717] -7.810744e-02 -8.429369e-04 1.354166e-01 1.274098e-02
## [1721] 2.422400e-02 1.500909e-01 1.371510e-01 2.776840e-02
## [1725] 1.450029e-01 1.965020e-01 2.097986e-01 2.694639e-01
## [1729] 1.536657e-01 2.672203e-01 2.596062e-01 1.253129e-01
## [1733] 1.924228e-01 1.826241e-01 1.891556e-01 6.889424e-02
## [1737] 4.672434e-02 1.724123e-02 4.849911e-02 -1.003189e-01
## [1741] -1.612942e-01 -1.566915e-01 -2.613095e-01 -1.018898e-01
## [1745] -2.899602e-01 -2.210082e-01 -3.720352e-01 -3.231780e-01
## [1749] -3.960006e-01 -2.916515e-01 -3.915996e-02 -9.961899e-02
## [1753] 9.368985e-02 -4.555128e-02 1.879743e-01 2.509071e-01
## [1757] 1.702283e-01 2.658876e-01 1.420165e-01 9.623529e-02
## [1761] 6.256626e-02 1.588876e-01 3.127461e-02 2.222683e-01
## [1765] 4.538533e-02 1.368786e-01 1.919859e-01 2.271424e-01
## [1769] 2.876094e-01 -4.099493e-01 -4.099493e-01 -4.099493e-01
## [1773] -4.099493e-01 -4.099493e-01 1.172463e-01 4.491449e-02
## [1777] 5.782960e-02 -2.230788e-03 7.650002e-02 1.914277e-01
## [1781] 9.048481e-02 7.235318e-02 1.849140e-01 2.113908e-01
## [1785] 2.169506e-01 3.333038e-01 3.187903e-01 3.264434e-01
## [1789] 4.114713e-01 2.512560e-01 3.687029e-01 3.740394e-01
## [1793] 3.408951e-01 3.445503e-01 1.927795e-01 9.150556e-02
## [1797] -7.653886e-03 -6.866002e-02 -2.130325e-01 -2.516410e-01
## [1801] -3.007227e-01 -4.358878e-01 -4.103124e-01 -5.153598e-01
## [1805] -3.715091e-01 -5.416733e-01 -4.620027e-01 -5.339531e-01
## [1809] -3.477678e-01 -5.359149e-01 -4.742964e-01 -2.179579e-01
## [1813] -3.586153e-01 -2.059713e-01 -1.945340e-01 -4.988673e-02
## [1817] 6.478471e-02 2.428161e-02 3.883412e-01 2.397841e-01
## [1821] 2.838652e-01 2.746447e-01 3.627748e-01 3.420315e-01
## [1825] 3.948422e-01 2.278701e-01 2.749231e-01 3.733178e-01
## [1829] 3.878665e-01 2.922534e-01 -3.413037e-01 -3.413037e-01
## [1833] -3.413037e-01 -3.413037e-01 -3.413037e-01 1.364594e-01
## [1837] 8.840509e-02 8.703943e-02 5.051636e-02 1.355990e-01
## [1841] 1.972620e-01 1.586726e-01 1.580322e-01 2.042085e-01
## [1845] 3.097032e-01 3.944326e-01 4.579518e-01 3.557026e-01
## [1849] 3.745391e-01 4.994417e-01 4.368592e-01 4.840233e-01
## [1853] 4.087991e-01 3.265642e-01 1.366776e-01 -9.371875e-02
## [1857] -2.424614e-01 -2.166404e-01 -3.117077e-01 -3.954465e-01
## [1861] -4.786381e-01 -3.284324e-01 -4.822696e-01 -4.600789e-01
## [1865] -4.042113e-01 -3.927120e-01 -4.034650e-01 -3.499600e-01
## [1869] -3.601662e-01 -2.462286e-01 -4.168683e-01 -4.273251e-01
## [1873] -2.110543e-01 -3.279196e-01 -2.657550e-01 -1.611956e-01
## [1877] -2.622148e-01 -1.976569e-01 -2.561506e-01 7.681344e-02
## [1881] -4.337115e-02 1.148971e-01 2.642229e-01 3.537188e-01
## [1885] 5.333721e-01 4.491965e-01 5.056506e-01 4.369173e-01
## [1889] 4.558083e-01 5.197921e-01 3.308885e-01 -3.074492e-01
## [1893] -3.074492e-01 -3.074492e-01 -3.074492e-01 -3.074492e-01
## [1897] 1.462170e-01 1.370646e-01 9.948572e-02 1.048305e-01
## [1901] 1.986567e-01 1.693983e-01 1.406299e-01 2.529865e-01
## [1905] 2.135912e-01 3.650626e-01 4.475990e-01 4.703355e-01
## [1909] 4.022471e-01 4.495440e-01 5.268188e-01 6.162158e-01
## [1913] 6.097519e-01 3.245332e-01 1.256340e-01 -2.290901e-01
## [1917] -3.225185e-01 -4.316033e-01 -2.648326e-01 -4.034375e-01
## [1921] -3.229938e-01 -4.053978e-01 -1.885800e-01 -3.292371e-01
## [1925] -3.198260e-01 -2.356754e-01 -2.942670e-01 -1.980262e-01
## [1929] -3.427377e-01 -2.429943e-01 -1.657053e-01 -2.488020e-01
## [1933] -2.274694e-01 -1.720851e-01 -2.441825e-01 -2.599434e-01
## [1937] -1.763083e-01 -3.485799e-01 -2.387586e-01 -2.101332e-01
## [1941] -1.742071e-01 -2.433273e-01 -1.075277e-01 5.997070e-02
## [1945] -3.638773e-02 2.714801e-01 2.151208e-01 5.094623e-01
## [1949] 4.588635e-01 4.782346e-01 6.206727e-01 5.074733e-01
## [1953] -2.615610e-01 -2.615610e-01 -2.615610e-01 -2.615610e-01
## [1957] -2.615610e-01 1.970258e-01 1.568400e-01 1.541318e-01
## [1961] 2.050918e-01 2.425745e-01 1.611807e-01 1.092029e-01
## [1965] 2.610575e-01 2.814713e-01 4.475898e-01 4.856079e-01
## [1969] 5.036470e-01 5.591936e-01 6.146199e-01 5.657187e-01
## [1973] 6.223066e-01 4.470355e-01 3.818991e-02 -6.896823e-02
## [1977] -2.807129e-01 -2.841479e-01 -3.334945e-01 -1.524473e-01
## [1981] -2.860425e-01 -2.801666e-01 -2.272204e-01 -1.415300e-01
## [1985] -2.828510e-01 -2.031843e-01 -2.788975e-01 -2.320178e-01
## [1989] -1.904697e-01 -2.002516e-01 -5.545995e-02 -1.519433e-01
## [1993] -2.136297e-01 -1.885816e-01 -2.164573e-01 -1.721598e-01
## [1997] -2.257373e-01 -1.892466e-01 -2.960105e-01 -1.378966e-01
## [2001] -1.012749e-01 -2.549712e-01 -1.334725e-01 -1.962700e-01
## [2005] -1.626394e-01 -3.137418e-01 -6.017035e-02 -7.656922e-02
## [2009] 1.807997e-01 2.032677e-01 3.784757e-01 4.961479e-01
## [2013] 5.852633e-01 -2.317074e-01 -2.317074e-01 -2.317074e-01
## [2017] -2.317074e-01 -2.317074e-01 2.224379e-01 2.053377e-01
## [2021] 1.339538e-01 2.781949e-01 3.199993e-01 1.110258e-01
## [2025] 1.032688e-01 2.504397e-01 3.631492e-01 4.699259e-01
## [2029] 5.358375e-01 5.988793e-01 7.367947e-01 7.348141e-01
## [2033] 5.761445e-01 5.212378e-01 7.680546e-02 -2.825428e-01
## [2037] -2.343086e-01 -2.023708e-01 -1.594039e-01 -2.660756e-01
## [2041] -3.313167e-02 -1.976122e-01 -2.709039e-01 -7.159992e-02
## [2045] -1.404685e-01 -2.604082e-01 -8.586015e-02 -1.958483e-01
## [2049] -5.049554e-02 -5.969382e-03 -2.887567e-01 -8.533236e-02
## [2053] -1.923035e-01 -1.182180e-01 -1.270655e-01 -2.158043e-01
## [2057] -5.837716e-02 -2.076177e-01 -3.645825e-02 -1.421145e-01
## [2061] -1.569699e-01 -8.687592e-02 -3.350359e-01 1.467925e-02
## [2065] -9.321487e-02 -2.522116e-01 -2.444987e-01 -1.759211e-01
## [2069] -2.400578e-01 -1.733905e-01 -1.437532e-01 1.839519e-01
## [2073] 1.741092e-01 3.785274e-01 -2.091142e-01 -2.091142e-01
## [2077] -2.091142e-01 -2.091142e-01 -2.091142e-01 -1.774630e-02
## [2081] 1.494478e-01 -6.477400e-02 5.934991e-01 7.921770e-01
## [2085] 7.751977e-01 5.349260e-01 2.564099e-01 2.946547e-01
## [2089] 3.063133e-01 7.403527e-01 5.389191e-01 5.890324e-01
## [2093] 6.529342e-01 3.041713e-01 1.031980e-01 -2.613371e-01
## [2097] -2.247994e-01 -2.618043e-01 -1.030547e-01 -2.173577e-01
## [2101] -2.784363e-02 -1.423005e-01 -9.290296e-02 -2.413567e-01
## [2105] -1.427273e-01 -1.475463e-01 -1.514011e-01 -1.065866e-01
## [2109] -1.552815e-01 -1.191556e-01 -1.902243e-02 -9.222140e-02
## [2113] -9.869278e-02 1.750013e-02 -1.373281e-01 -2.642062e-01
## [2117] -1.058218e-01 -1.017459e-01 -1.770447e-01 -1.183873e-01
## [2121] -1.038118e-01 -1.956825e-01 -1.043451e-01 -1.516690e-01
## [2125] -1.380766e-01 -9.085328e-02 -1.552209e-01 -2.092897e-01
## [2129] -1.731340e-01 -1.676752e-01 -9.692870e-02 -2.172733e-01
## [2133] -2.514578e-01 -3.832642e-02 8.302814e-02 -1.905893e-01
## [2137] -1.905893e-01 -1.905893e-01 -1.905893e-01 -1.905893e-01
## [2141] -2.345813e-01 2.438886e-02 2.315544e-01 9.564041e-01
## [2145] 1.103617e+00 1.188502e+00 9.788708e-01 6.924011e-01
## [2149] 4.297513e-01 3.127579e-01 4.639890e-01 5.455939e-01
## [2153] 5.049097e-01 3.377808e-01 5.844973e-02 -1.430219e-01
## [2157] -3.227980e-01 -2.176220e-01 -2.154576e-01 -8.260181e-02
## [2161] -2.186152e-01 -9.631030e-02 -2.317994e-01 -1.462394e-01
## [2165] -2.240013e-01 -1.240724e-01 -2.108501e-01 -1.596441e-01
## [2169] -1.870285e-01 -2.049370e-01 -2.527797e-01 -1.291187e-01
## [2173] -1.664795e-01 -2.170712e-01 -9.024484e-02 -1.514393e-01
## [2177] -1.467750e-01 -8.581143e-02 -1.658645e-01 -1.239361e-01
## [2181] -1.551959e-01 -6.534036e-03 -7.476632e-02 -1.116747e-01
## [2185] -1.129089e-01 -1.319675e-01 -7.838995e-02 -9.808107e-02
## [2189] -2.037861e-01 -1.721379e-01 -1.649653e-01 -2.015103e-01
## [2193] -2.359031e-01 -2.405835e-01 -1.976033e-01 -1.409159e-01
## [2197] -1.765655e-01 -1.765655e-01 -1.765655e-01 -1.765655e-01
## [2201] -1.765655e-01 -1.851451e-01 6.086018e-01 1.037104e+00
## [2205] 1.098702e+00 5.845705e-01 4.628950e-01 6.845421e-01
## [2209] 1.051840e+00 6.932711e-01 4.616802e-01 3.794199e-01
## [2213] 5.400428e-01 4.517478e-01 -3.314276e-02 -1.948142e-01
## [2217] -3.455955e-01 -3.474901e-01 -2.506718e-01 -1.991313e-01
## [2221] -7.864276e-02 -1.769475e-01 -1.245833e-01 -2.081641e-01
## [2225] -1.082221e-01 -1.140997e-01 -8.021403e-02 -1.121095e-01
## [2229] -1.796943e-01 -2.222409e-01 -2.957498e-01 -2.973349e-01
## [2233] -1.974556e-01 -1.648084e-01 -2.371213e-01 -9.355747e-02
## [2237] -4.661203e-02 -4.795850e-02 -1.089382e-01 -2.356759e-01
## [2241] -1.390231e-01 -2.091761e-01 -1.399881e-02 2.678584e-02
## [2245] -7.335140e-02 -1.643626e-01 -6.029265e-02 -5.261790e-02
## [2249] -1.083454e-01 -1.935431e-01 -1.847151e-01 -1.643054e-01
## [2253] -2.302410e-01 -2.109919e-01 -1.614616e-01 -2.594213e-01
## [2257] -2.864068e-01 -1.759907e-01 -1.759907e-01 -1.759907e-01
## [2261] -1.759907e-01 -1.759907e-01 6.133256e-01 1.120564e+00
## [2265] 8.137980e-01 3.007242e-01 -5.726726e-02 -1.282732e-02
## [2269] 4.501763e-01 1.158544e+00 8.634287e-01 5.964726e-01
## [2273] 5.302173e-01 3.868589e-01 1.712358e-01 -2.639734e-01
## [2277] -3.303382e-01 -2.967326e-01 -2.786773e-01 -2.128676e-01
## [2281] -1.659458e-01 -9.713498e-02 -1.440935e-01 -1.326733e-01
## [2285] -2.096679e-01 -1.448606e-01 -1.970957e-02 -4.965736e-02
## [2289] -7.727172e-02 -1.426971e-01 -9.870626e-02 -1.199837e-01
## [2293] -1.905622e-01 -2.490317e-01 -1.823526e-01 -1.470200e-01
## [2297] -4.495900e-02 6.990913e-02 6.182993e-02 -3.792191e-02
## [2301] -1.585222e-01 -1.424491e-01 -1.859960e-01 -1.070468e-01
## [2305] -6.862393e-02 -1.194299e-01 -1.643989e-01 -1.038304e-02
## [2309] -7.008476e-02 -1.463988e-01 -1.789231e-01 -2.413742e-01
## [2313] -1.968758e-01 -2.004383e-01 -1.073271e-01 -7.887735e-02
## [2317] -2.347296e-01 -1.383196e-01 -1.733153e-01 -1.733153e-01
## [2321] -1.733153e-01 -1.733153e-01 -1.733153e-01 1.121468e+00
## [2325] 8.245026e-01 1.582608e-01 -1.535495e-01 9.307025e-02
## [2329] 3.158770e-01 6.102420e-01 1.096705e+00 8.508034e-01
## [2333] 5.854401e-01 5.820063e-01 1.169068e-01 -2.214033e-01
## [2337] -2.983944e-01 -3.172305e-01 -1.702314e-01 -1.514648e-01
## [2341] -1.148733e-01 -1.016491e-01 -1.269289e-01 -7.852700e-02
## [2345] -1.464169e-01 -2.284917e-01 -2.121004e-01 -3.240164e-02
## [2349] -6.287220e-02 -1.460777e-01 -1.005638e-01 1.572874e-02
## [2353] 1.128742e-01 4.798998e-03 -9.333906e-02 -2.855341e-01
## [2357] -1.198232e-01 -1.050196e-01 -1.077843e-01 -2.325669e-04
## [2361] -2.815278e-02 -1.207122e-01 -1.716213e-01 -5.001158e-02
## [2365] -1.838043e-01 -2.348780e-01 -1.322645e-01 -3.362348e-02
## [2369] 4.862819e-02 -1.226197e-01 -1.371506e-01 -1.726073e-01
## [2373] -2.349422e-01 -1.663186e-01 -1.629974e-01 -5.249260e-02
## [2377] -7.209050e-02 -1.738406e-01 -4.569884e-02 -1.575961e-01
## [2381] -1.575961e-01 -1.575961e-01 -1.575961e-01 -1.575961e-01
## [2385] 1.160861e+00 3.871012e-01 1.248566e-01 3.748376e-02
## [2389] 7.111035e-03 1.744466e-01 7.594230e-01 1.231619e+00
## [2393] 8.725801e-01 5.205418e-01 3.911985e-01 -1.800198e-01
## [2397] -3.787693e-01 -1.874532e-01 -2.613847e-01 -1.545085e-01
## [2401] -1.946129e-01 -1.796055e-01 -9.484549e-02 -2.219049e-01
## [2405] -5.867152e-02 -1.059239e-01 -1.342178e-01 -1.373219e-01
## [2409] -1.395184e-01 -8.305982e-02 -8.982775e-02 -7.653323e-02
## [2413] -9.820914e-02 2.084494e-02 1.156397e-01 1.703197e-01
## [2417] -1.567078e-01 8.765622e-02 -5.219124e-02 -2.085389e-01
## [2421] -1.068564e-01 -9.089634e-02 -1.219128e-01 -2.024349e-01
## [2425] 2.642999e-02 -2.112468e-01 -1.790866e-01 -1.225975e-01
## [2429] 1.815915e-02 3.069964e-02 -1.549536e-01 -8.422848e-02
## [2433] -2.036617e-01 -1.100948e-03 -1.038270e-01 -1.244879e-01
## [2437] -7.140896e-02 -1.180616e-01 -1.158397e-01 -1.425651e-01
## [2441] -1.387575e-01 -1.387575e-01 -1.387575e-01 -1.387575e-01
## [2445] -1.387575e-01 7.581871e-01 1.276517e-01 2.734325e-01
## [2449] 2.562921e-01 7.039475e-02 2.300572e-01 9.085136e-01
## [2453] 1.111993e+00 8.225290e-01 3.335376e-01 3.982458e-02
## [2457] -3.256951e-01 -3.310647e-01 -1.878552e-01 -1.915639e-01
## [2461] -1.909882e-01 -2.406518e-01 -2.037671e-01 -8.987732e-02
## [2465] -2.837964e-01 -6.322830e-02 -1.079850e-01 -6.623771e-02
## [2469] -7.172524e-02 -2.286059e-01 -8.346045e-02 -7.373990e-04
## [2473] -7.333058e-02 -1.746382e-01 -1.414051e-01 7.410459e-03
## [2477] 6.980520e-02 3.384511e-02 3.009944e-01 4.442746e-02
## [2481] -1.391219e-01 -6.528055e-02 -9.384856e-02 -8.705870e-02
## [2485] -1.461356e-01 -7.163371e-02 -1.461774e-01 3.428893e-02
## [2489] -3.258700e-02 -9.193564e-02 -3.820565e-02 -1.790262e-01
## [2493] -4.965474e-02 -1.542194e-02 2.556987e-01 -6.299096e-02
## [2497] -8.260418e-02 -8.846463e-02 -2.372077e-01 -1.077357e-01
## [2501] -1.933912e-01 -1.344796e-01 -1.344796e-01 -1.344796e-01
## [2505] -1.344796e-01 -1.344796e-01 4.942906e-01 2.261196e-01
## [2509] 3.517048e-01 1.328080e-01 2.057350e-01 5.942277e-01
## [2513] 1.160689e+00 9.843862e-01 7.056712e-01 1.612116e-01
## [2517] -2.615313e-01 -3.275842e-01 -2.768458e-01 -3.199258e-01
## [2521] -1.463337e-01 -1.876217e-01 -1.215953e-01 -7.221765e-02
## [2525] -2.519431e-02 -2.517062e-01 -6.306198e-02 -1.989595e-01
## [2529] -1.200148e-01 -8.762783e-02 -1.709054e-01 -8.652460e-02
## [2533] -2.849097e-02 -3.888785e-02 -1.063343e-01 -9.472470e-02
## [2537] -1.246874e-01 -2.185436e-01 -1.614262e-01 1.113469e-01
## [2541] -8.524546e-02 -1.761150e-01 -8.499448e-02 -1.492493e-01
## [2545] -9.298199e-02 -1.481287e-01 -1.829887e-01 -1.444955e-02
## [2549] 2.485456e-01 8.242565e-02 -1.357528e-01 -5.726495e-02
## [2553] -1.893036e-01 -8.524389e-03 3.509029e-01 3.718756e-01
## [2557] -1.138781e-01 -8.119954e-02 -4.344946e-02 -2.627091e-01
## [2561] -4.556014e-02 -1.470016e-01 -1.298492e-01 -1.298492e-01
## [2565] -1.298492e-01 -1.298492e-01 -1.298492e-01 4.443292e-01
## [2569] 1.715963e-01 1.324426e-01 1.775493e-01 4.362871e-01
## [2573] 8.497089e-01 1.253061e+00 8.758766e-01 3.905110e-01
## [2577] 4.191978e-02 -3.334056e-01 -2.950369e-01 -1.669809e-01
## [2581] -1.170404e-01 -1.267761e-01 -6.739605e-02 -9.975226e-02
## [2585] -1.550328e-01 -4.892919e-02 -9.661268e-02 -1.364242e-01
## [2589] -8.520312e-02 -1.118783e-01 -9.718609e-02 6.938646e-02
## [2593] -1.370642e-01 -2.446382e-02 1.106503e-01 -2.291891e-02
## [2597] -6.012571e-02 -7.268322e-02 -2.152318e-01 -4.120937e-02
## [2601] 2.929792e-02 -1.415501e-01 -1.011542e-01 -1.997724e-02
## [2605] -1.223588e-01 -1.003474e-01 -1.074593e-01 -9.434834e-02
## [2609] -4.282555e-03 8.838633e-02 -2.095796e-01 2.120643e-01
## [2613] -1.322970e-02 -7.320703e-02 -1.537229e-01 -5.371135e-02
## [2617] -1.248321e-01 -2.251391e-01 -8.471702e-02 -7.480446e-02
## [2621] -1.608717e-01 -1.488067e-01 -1.083699e-01 -1.341345e-01
## [2625] -1.341345e-01 -1.341345e-01 -1.341345e-01 -1.341345e-01
## [2629] 2.538572e-01 3.336450e-01 2.740171e-01 2.044934e-01
## [2633] 6.292066e-01 1.195870e+00 1.274379e+00 6.650757e-01
## [2637] 6.162999e-02 -2.228889e-01 -3.548428e-01 -3.587867e-01
## [2641] -2.429522e-01 -1.739144e-01 -2.222421e-01 -5.295104e-02
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## [2957] -1.696404e-01 -8.137941e-02 2.263399e-03 -1.073759e-02
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## [2965] -1.059991e-01 1.826942e-01 -1.683751e-01 -1.617128e-01
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## [2977] -7.261673e-03 -1.948063e-02 -5.739977e-02 -1.528397e-01
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## [2985] -1.259772e-01 -1.944215e-01 -7.192490e-03 -9.816634e-02
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## [2997] 1.003559e+00 1.590587e+00 9.301634e-01 -5.294842e-02
## [3001] -2.445471e-01 -5.095322e-01 -3.000343e-01 -2.419746e-01
## [3005] -2.152351e-01 -1.876573e-01 -2.021687e-01 -9.274879e-02
## [3009] -1.592269e-01 -1.678785e-01 5.822644e-02 -5.392408e-02
## [3013] -2.409577e-02 -3.459070e-02 -1.855110e-01 -1.443907e-01
## [3017] -3.691454e-02 -1.295491e-01 -5.580920e-02 -7.845897e-02
## [3021] -7.223887e-02 -2.119511e-02 -9.487501e-02 -1.390202e-01
## [3025] -6.567434e-02 1.258152e-01 1.924083e-01 -1.639473e-01
## [3029] -7.015857e-02 -1.942613e-01 8.698842e-02 -1.787087e-01
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## [3037] -2.038485e-01 3.632277e-01 3.543294e-01 3.022552e-02
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## [3053] -1.456765e-01 -1.456765e-01 -1.456765e-01 3.783125e-01
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## [3073] -1.297561e-01 -1.956815e-01 -7.844835e-02 -1.377067e-01
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## [3437] -6.900371e-02 -2.614583e-02 -1.563191e-02 1.325655e-03
## [3441] -7.911579e-02 -1.141780e-01 1.323649e-02 -6.114461e-02
## [3445] -1.448060e-01 -2.201663e-02 5.444397e-02 -5.609129e-02
## [3449] 1.081832e-01 -4.677225e-03 -4.300861e-02 4.824005e-02
## [3453] 2.481591e-01 -6.298478e-02 -5.453020e-02 2.650527e-03
## [3457] -2.586468e-02 -7.335192e-02 -3.026653e-02 -8.855404e-02
## [3461] -1.494944e-01 -4.150354e-02 3.102104e-02 -1.157667e-01
## [3465] -1.096540e-03 4.506642e-02 -6.543682e-02 2.234322e-02
## [3469] -6.561581e-02 -8.975023e-02 -6.772032e-02 1.350568e-01
## [3473] 3.316589e-01 1.250748e-01 2.731936e-02 -3.533575e-02
## [3477] -7.176726e-02 -7.668823e-02 -7.668823e-02 -7.668823e-02
## [3481] -7.668823e-02 -7.668823e-02 1.230227e+00 1.589017e-01
## [3485] -2.667818e-01 -5.914037e-02 -1.235133e-01 -4.877538e-02
## [3489] -6.567993e-02 -4.650009e-02 -1.567669e-01 -4.191828e-02
## [3493] -6.876110e-02 -4.014986e-02 -8.324889e-02 1.983014e-02
## [3497] 1.778124e-02 -3.061781e-02 8.145146e-02 -5.537363e-02
## [3501] 7.611219e-02 2.905985e-02 -1.019178e-02 -1.126517e-03
## [3505] -4.540781e-02 -6.269885e-02 -1.012954e-01 8.530518e-02
## [3509] -9.304711e-02 1.444897e-01 1.589919e-02 -3.589428e-02
## [3513] -3.773801e-03 7.197523e-02 -8.334697e-02 8.539295e-02
## [3517] -1.467103e-02 1.902617e-02 1.295902e-02 -4.781678e-02
## [3521] 6.554055e-02 -7.374207e-02 1.019136e-01 -1.267691e-01
## [3525] -5.311387e-02 1.911968e-02 -4.786909e-02 1.648594e-02
## [3529] -2.177074e-02 2.776126e-03 -1.184695e-02 1.414762e-02
## [3533] -1.969513e-01 1.037580e-01 4.013356e-02 6.262870e-02
## [3537] 9.408532e-02 -6.699852e-02 -7.644054e-02 -7.644054e-02
## [3541] -7.644054e-02 -7.644054e-02 -7.644054e-02 5.997338e-01
## [3545] 7.169824e-02 -2.045371e-01 -4.113906e-03 6.883153e-02
## [3549] -2.115842e-02 -3.273408e-02 1.696198e-02 -1.036666e-01
## [3553] 1.000858e-01 -9.203817e-02 1.806004e-02 4.112599e-02
## [3557] -5.134428e-02 -7.706110e-03 -4.636137e-02 -6.761246e-02
## [3561] -4.951381e-02 4.607768e-02 6.004102e-03 -8.749791e-02
## [3565] -2.665680e-02 6.989030e-02 -8.142710e-02 -4.810573e-02
## [3569] 5.046807e-02 1.815795e-02 1.020759e-01 4.913022e-02
## [3573] 1.092135e-01 -6.121467e-02 4.454670e-02 -6.948308e-02
## [3577] 1.063104e-01 2.866703e-02 -4.264957e-02 1.359413e-01
## [3581] -1.285625e-01 7.596041e-02 -3.338300e-02 -3.172053e-02
## [3585] 2.177936e-02 -4.550623e-02 3.575466e-03 -6.226456e-02
## [3589] -4.706817e-02 -7.671534e-02 1.052054e-01 -4.664862e-02
## [3593] -7.226975e-02 -1.212191e-03 -1.370182e-02 3.112561e-02
## [3597] 9.409773e-02 1.714187e-03 2.263793e-02 -8.219756e-02
## [3601] -8.219756e-02 -8.219756e-02 -8.219756e-02 -8.219756e-02
## [3605] 1.921615e-01 -5.779381e-03 -1.229262e-01 -3.130269e-02
## [3609] 2.949645e-02 -1.517327e-02 3.495650e-05 8.535082e-02
## [3613] -6.699811e-03 5.628541e-02 -5.019077e-03 -1.618651e-02
## [3617] 2.515956e-02 4.569072e-02 1.795278e-02 -2.895264e-02
## [3621] -1.020432e-01 1.744164e-01 2.494471e-04 1.742968e-02
## [3625] -7.289464e-02 7.780431e-03 7.092489e-02 -7.297886e-02
## [3629] -4.694953e-02 1.168726e-02 6.700660e-02 6.294405e-02
## [3633] -9.436863e-03 1.668445e-01 3.243162e-02 1.341817e-01
## [3637] -1.290768e-01 -4.276116e-03 6.103484e-02 -4.295430e-02
## [3641] 9.079360e-02 -1.087368e-01 7.945296e-02 -9.057187e-02
## [3645] 1.075691e-02 -8.778046e-03 2.422293e-02 -1.419545e-02
## [3649] 3.084771e-02 1.728064e-02 -2.863232e-02 2.718275e-02
## [3653] -4.465983e-02 8.537424e-03 -3.516713e-02 -9.552457e-04
## [3657] -1.363829e-02 -5.913154e-02 4.083618e-02 -6.087042e-02
## [3661] -1.085182e-01 -1.085182e-01 -1.085182e-01 -1.085182e-01
## [3665] -1.085182e-01 -4.235874e-02 6.051158e-02 2.212486e-02
## [3669] -4.375465e-02 -2.360979e-02 8.272071e-03 -3.821885e-02
## [3673] -4.608081e-02 2.594561e-02 -2.968671e-02 5.555569e-02
## [3677] 3.768858e-02 -9.444039e-03 1.218884e-02 -5.577967e-03
## [3681] -4.666049e-02 1.491119e-01 8.463622e-01 1.366945e-01
## [3685] 1.054626e-01 -1.039825e-01 4.573466e-02 -6.104287e-02
## [3689] -1.207237e-01 -3.779608e-02 2.213442e-04 3.787845e-02
## [3693] 2.452906e-02 -1.042452e-01 1.026976e-01 6.771011e-02
## [3697] 1.421464e-01 -1.334754e-01 -4.527771e-02 3.595346e-02
## [3701] -6.413773e-02 3.841345e-02 -6.320290e-02 -1.833204e-02
## [3705] -5.122113e-02 -9.698455e-02 -1.247356e-01 1.565045e-01
## [3709] -1.274026e-01 6.151851e-03 -7.122195e-02 -6.018834e-02
## [3713] -4.799368e-02 -1.706341e-02 1.335537e-01 -8.727255e-02
## [3717] 5.928813e-02 6.495558e-02 -1.441466e-01 7.590335e-02
## [3721] -4.313023e-02
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## [1] 34Часть вторая
Я предлагаю использовать следующую архитектуру, но вы можете выбрать свою. Архитектура указанная ниже достаточно неплохо обучается (70% accuracy на train, 100% на test).
train.array <- t(nn.data.x)
dim(train.array) <- c(61, 61, 1, ncol(train.array))
test.array <- t(nn.data.x_test)
dim(test.array) <- c(61, 61, 1, ncol(test.array))
#mx.set.seed(1)
data <- mx.symbol.Variable('data')
conv.1 <- mx.symbol.Convolution(data = data, kernel = c(5, 5), num_filter = 10)
tanh.1 <- mx.symbol.LeakyReLU(conv.1, slope=0)
pool.1 <- mx.symbol.Pooling(data=tanh.1, kernel=c(2, 2), stride=c(2, 2), pool.type="max")
conv.2 <- mx.symbol.Convolution(data = pool.1, kernel = c(5, 5), num_filter = 10)
tanh.2 <- mx.symbol.LeakyReLU(conv.2, slope=0)
pool.2 <- mx.symbol.Pooling(data=tanh.2, kernel=c(2, 2), stride=c(2, 2), pool.type="max")
fc.1 <- mx.symbol.FullyConnected(data = pool.2, num_hidden = 3)
nn.model <- mx.symbol.SoftmaxOutput(data = fc.1)
graph.viz(nn.model)mx.set.seed(1)
model <- mx.model.FeedForward.create(nn.model,
X=train.array,
y=as.array(nn.data.y-1),
eval.data = list(
data=test.array,
label=as.array(nn.data.y_test-1)
),
ctx=mx.cpu(),
num.round = 100,
optimizer="adadelta",
eval.metric = mx.metric.accuracy,
epoch.end.callback = mx.callback.log.train.metric(10))
soft_preds <- predict(model, test.array)
preds <- apply(soft_preds,2, which.max )
M = matrix(0,3,3)
for (i in 1:length(preds)) {M[nn.data.y_test[i], preds[i]] <- (M[nn.data.y_test[i], preds[i]] + 1)}
print(M)## [,1] [,2] [,3]
## [1,] 407 198 195
## [2,] 180 312 8
## [3,] 54 4 342